Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/48235
Title: Two-swarm PSO for competitive location problems
Authors: Campos Rodriguez,Clara Margarita 
Moreno Pérez,José Andrés 
Noltemeier, Hartmut
Santos Peñate, Dolores Rosa 
UNESCO Clasification: 5302 Econometría
Keywords: Localización de empresas
Modelos económetricos
Issue Date: 2009
Publisher: 1860-949X
Journal: Studies in Computational Intelligence 
Abstract: Competitive location problems consist of determining optimal strategies for competing firms which make location decisions. The standard problem is the leader-follower location problem which consists of determining optimal strategies for two competing firms, the leader and the follower, which make decisions sequentially. The follower has the objective of maximizing its market share, given the locations chosen by the leader. The leader optimization problem is to minimize the maximum market share that the follower can get. We propose a two-swarm particle swarm optimization procedure in which each swarm contains locations for one of the two firms. We analyze the application of this procedure to the (r p)-centroid problem in the plane. It is the leader-follower problem where the leader chooses p points and then the follower chooses r points.
URI: http://hdl.handle.net/10553/48235
ISBN: 9783642032103
ISSN: 1860-949X
DOI: 10.1007/978-3-642-03211-0_10
Source: Studies in Computational Intelligence[ISSN 1860-949X],v. 236, p. 115-126
Appears in Collections:Actas de congresos
Show full item record

SCOPUSTM   
Citations

3
checked on Nov 27, 2022

Page view(s)

23
checked on Oct 22, 2022

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.